Explanations as a New Metric for Feature Selection: A Systematic Approach.
Haomiao WangEmmanuel DoumardChantal Soulé-DupuyPhilippe KémounJulien AligonPaul MonsarratPublished in: IEEE J. Biomed. Health Informatics (2023)
Keyphrases
- feature selection
- feature set
- machine learning
- feature selection algorithms
- similarity metric
- support vector
- metric space
- feature extraction
- text categorization
- classification accuracy
- chi squared
- multi class
- mutual information
- metric learning
- support vector machine
- unsupervised learning
- dimensionality reduction
- microarray classification
- information gain
- qualitative and quantitative
- selected features
- irrelevant features
- feature space
- discriminative features
- feature selection and classification
- multi task
- generating explanations
- naive bayes
- information content
- microarray data
- gene expression data
- high dimensionality
- cross validation
- data sets
- model selection
- text classification
- knn
- training data
- neural network